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A forecasting method of combining Empirical Mode Decomposition(EMD) and Gene Expression Programming(GEP) that's called EMD&GEP method here is suggested, which is applied to short-term load forecasting and higher forecasting precision is obtained. The load samples are handled in order to eliminate the pseudo-data, and the intrinsic mode functions(IMFs) and the residual trend of different frequency...
Short-term load forecasting is an important part of the modernized power system administration. Some methods have been applied to short-term load forecasting and obtained a certain achievement. Considering the characteristics of gene expression programming (GEP), it is possible to apply GEP to short-term load forecasting. But there still are some shortcomings of GEP. Such as the initial population...
The algorithm of genetic programming is described and applied to short-term load forecasting. For the fault in history load data, the load samples are filtered and processed generally before using, and then the load series of the same time point but different days are chosen as the training sets. According to the complex expressive capacity of genetic programming, the future short-term load model...
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